Purpose With the help of basic physics, the application of computer algorithms in the form of
recent advances such as machine learning and neural networking in textile Industry has …

As the need for quickly exploring a textile manufacturing process is increasingly costly along
with the complexity in the process. The development of manufacturing process modeling has …

Polymer based textile composites have gained much attention in recent years and gradually
transformed the growth of industries especially automobiles, construction, aerospace and …

This paper introduces a novel technique to evaluate comfort properties of zinc oxide
nanoparticles (ZnO NPs) coated woven fabrics. The proposed technique combines artificial …

This paper presents a new hybrid approach for the prediction of functional properties ie, self-
cleaning efficiency, antimicrobial efficiency and ultraviolet protection factor (UPF), of titanium …

This paper represents the efficiency of machine learning tool, ie, artificial neural network
(ANN), for the prediction of functional properties of nano titanium dioxide coated cotton …

The low fixation rate and colorfastness of natural dyes limit their practical application in
modern textile coloration. Further, hazardous mordants are used in conventional natural …

The thermal-wet-comfort characteristic of fabrics is primary to clothing for human bodies. The
comfort aptitudes in the fabrics increase the significance of attire and are gaining more …

Automating fabric manipulation in garment manufacturing remains a challenging task due to
the characteristics of limp sheet materials and the diversity of fabrics used. This paper …

The enzyme washing process is extensively applied in the industrial production of denim
garments. The process parameters of enzyme washing have significant effects on washing …